Analyst, Finance Analytics

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. As a Business Intelligence Analyst, you will work at the intersection of data, AI, and finance, building intelligent tools, workflows, and applications that replace manual analysis with scalable, AI-driven systems. You will design workflows, write prompts, build applications, and ensure outputs are accurate before they reach stakeholders. WHAT YOU’LL DO 1. Build AI-powered workflows and tools (Primary Focus) - Design and build agentic experiences and reusable AI workflows (skills) that encode repeatable finance workflows - Write and iterate on structured prompts (YAML, Markdown, or equivalent) to improve output quality - Build tools that allow non-technical users to generate high-quality outputs from simple inputs - Evaluate and validate AI-generated outputs before they are used in decision-making 2. Develop data and analytics foundations - Build and improve semantic data models for natural language querying - Work with Snowflake, dbt, and Airflow to support scalable data pipelines - Maintain reliable, source-of-truth reporting outputs 3. Drive end-to-end analytics and stakeholder delivery - Partner with finance and technical stakeholders to identify use cases across analysis, reporting, and workflow automation - Translate business needs into scalable data models, pipelines, and AI-driven solutions - Build reusable, scalable applications using Streamlit (or similar frameworks) to develop internal tools and demo applications that showcase Snowflake-native use cases, applying shared components and design patterns. - Ingest, validate, and model data from core systems to build reliable analytics foundations - Analyze data to answer key business questions and build apps/tools for ongoing, self-serve insights - Support user testing, QA, and iteration to ensure outputs meet stakeholder needs - Maintain clear documentation for data models, metrics, and workflows - Identify gaps in processes, data, or systems, and drive improvements WHAT WE’RE LOOKING FOR Core skills - 3+ years of experience in Data Analytics, BI, or BI Engineering - Strong SQL skills for analysis, data transformation, and building scalable datasets - Strong Python skills (pandas, numpy) for data processing and application development - Experience working with modern data platforms (e.g., Snowflake, BigQuery, Redshift etc.) - Experience working with tools such as dbt, Airflow, and Git - Solid understanding of data modelling and building datasets for self-serve analytics. AI-Native Expectations We are specifically hiring candidates who actively build with AI. AI-assisted development (daily usage) - You use an LLM coding assistant (e.g., Copilot, Cursor, Claude, or equivalent) as your primary development tool - You can: - Write prompts that generate usable, production-ready code - Steer and refine outputs when the model goes off-track - Encode reusable logic into structured workflows or tools Prompt engineering & structured thinking - You can design structured prompts (YAML, Markdown, or similar) that: - Produce reliable outputs consistently - Handle edge cases and ambiguity - Encode domain knowledge through context, examples, and constraints Ways of Working - You turn ambiguous problems into clear, structured outputs - You think in workflows and reusable systems, not one-off analyses - You move quickly while maintaining a high bar for accuracy - You communicate effectively with both technical and non-technical stakeholders, including senior leaders - You are comfortable working in fast-paced, ambiguous environments and prioritizing effectively - You have a strong ownership mindset and bring structure and clarity to complex problems - You have high attention to detail and a strong focus on data quality NICE TO HAVE - Experience with finance, accounting, or supporting finance stakeholders - Experience building internal tools or user-facing data applications - Familiarity with semantic layers or natural language querying systems - Familiarity with ERP or financial planning systems - Experience working in agile environments (sprints, iterative development) - Experience with Streamlit or similar app frameworks - You demonstrat